Range Intelligent Computing Technology Group — AI supply-chain exposure
The model reads Range Intelligent Computing Technology Group primarily as a producer in Infrastructure. Its largest modeled sensitivity is a shock at Transformer availability (constraint β 26).
The structural read · model-generated
The model reads Range Intelligent Computing Technology Group primarily as a producer in Infrastructure. Its largest modeled sensitivity is a shock at Transformer availability (constraint β 26).
In depth · editorial + model · written 2026-07-13
Range Intelligent Computing (Runze Technology) is a Chinese wholesale data-center developer that builds and operates large AI-oriented campuses, then leases the capacity to hyperscale and AI-computing customers. It sits in the physical infrastructure layer of the chain — the buildings, power and cooling that house the accelerators rather than the silicon itself. Its model is bulk build-to-suit: put up the shell and the power envelope, and let large tenants fill it with compute.
The structural hook is that AI demand has turned data-center real estate into a constrained resource, where the binding limits are increasingly power availability and speed of construction rather than capital. A developer that can secure sites, energy and delivery timelines ahead of demand gains leverage over customers who need capacity faster than they can build it themselves. Concentrated exposure to a handful of large tenants is the offsetting risk, tying its fortunes to those customers' build plans.
Chain footprint by layer
How it participates
Every part Range Intelligent Computing Technology Group touches
Critical materials it leans on
Geographic concentration
Frequently asked
What is Range Intelligent Computing Technology Group's role in the AI supply chain?
The model reads Range Intelligent Computing Technology Group primarily as a producer in Infrastructure. Its largest modeled sensitivity is a shock at Transformer availability (constraint β 26).
Which parts of the AI value chain is Range Intelligent Computing Technology Group exposed to?
Range Intelligent Computing Technology Group is mapped to 3 parts of the AI value chain, most strongly AI buildout risk, Data-center construction, AI factory. It sits primarily in the Infrastructure layer as a producer.
Does Range Intelligent Computing Technology Group own an AI bottleneck?
Not in the current model — Range Intelligent Computing Technology Group is exposed to constrained parts but sits downstream of them rather than producing them.
What is Range Intelligent Computing Technology Group's biggest AI supply-chain risk?
Its largest modeled sensitivity is a shock at Transformer availability (constraint β 26). 6 nodes depend on it; pressure 91/100
Who are Range Intelligent Computing Technology Group's closest peers by AI-chain position?
By shared chain dependencies: NTT Global Data Centers, Vantage Data Centers, QTS Realty, Compass Datacenters.
Go live on Range Intelligent Computing Technology Group
- The interactive dependency graph and full company Nexus
- The analyst bull / bear thesis and valuation lens
- Live signals, today’s movers and the read-through
- Track it in your Portfolio Cockpit — positions, P&L, valuation, thesis
model v0.7.0 · research, not advice
Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice. Market cap sourced 2026-07-04.
